{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 对连续型特征，可以用哪个函数可视化其分布？（给出你最常用的一个即可），并根据代码运行结果给出示例。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import csv\n",
    "df = pd.read_csv('C:/Users/MLoong/Desktop/boston_housing.csv')\n",
    "df.head()\n",
    "df.info()\n",
    "\n",
    "_, axes = plt.subplots(1, 2, sharey=True, figsize=(6, 4))\n",
    "sns.boxplot(data=df[\"MEDV\"], ax=axes[0]);\n",
    "sns.violinplot(data=df[\"MEDV\"], ax=axes[1]);\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "violinplot.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![violinplot.png](attachment:violinplot.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 对两个连续型特征，可以用哪个函数得到这两个特征之间的相关性？根据代码运行结果，给出示例。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import csv\n",
    "df = pd.read_csv('C:/Users/MLoong/Desktop/boston_housing.csv')\n",
    "df.head()\n",
    "df.info()\n",
    "\n",
    "#get the names of all the columns\n",
    "cols = df.columns\n",
    "\n",
    "data_corr = df.corr()\n",
    "data_corr.shape\n",
    "\n",
    "# 得到相关系数的绝对值，通常认为相关系数的绝对值大于0.5的特征为强相关\n",
    "data_corr = data_corr.abs()\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)\n",
    "\n",
    "# Mask unimportant features,突出重要信息\n",
    "sns.heatmap(data_corr, mask=data_corr < 0.5, cbar=False)\n",
    "\n",
    "sns.jointplot(x=\"RM\", y=\"MEDV\",\n",
    "\n",
    "              data=df, kind=\"scatter\");\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%871.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%871.png](attachment:%E5%9B%BE%E7%89%871.png)"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%872.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%872.png](attachment:%E5%9B%BE%E7%89%872.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. 如果发现特征之间有较强的相关性，在选择线性回归模型时应该采取什么措施。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果特征之间高度相关，可考虑进行PCA降维（特征层面）或加正则项（模型层面）\n",
    "如果两个特征的相关性特别强，比如绝对值高于0.9，则可以考虑只保留其中一个特征以达到降维的目的。\n",
    "如果在选用模型时加入L1正则项以在训练模型的时候自动淘汰一些特征。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. 当采用带正则的模型以及采用随机梯度下降优化算法时，需要对输入（连续型）特征进行去量纲预处理。课程代码给出了用标准化（StandardScaler）的结果，请改成最小最大缩放（MinMaxScaler）去量纲 ，并重新训练最小二乘线性回归、岭回归、和Lasso模型。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#最小最大缩放去量纲部分\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import csv\n",
    "df = pd.read_csv('C:/Users/MLoong/Desktop/boston_housing.csv')\n",
    "df.head()\n",
    "df.info()\n",
    "\n",
    "#get the names of all the columns\n",
    "cols = df.columns\n",
    "\n",
    "y = df['MEDV']\n",
    "X = df.drop('MEDV', axis = 1)\n",
    "\n",
    "log_y = np.log1p(y)\n",
    "\n",
    "X[\"RAD\"].astype(\"object\")\n",
    "X_cat = X[\"RAD\"]\n",
    "X_cat = pd.get_dummies(X_cat, prefix=\"RAD\")\n",
    "X = X.drop(\"RAD\", axis = 1)\n",
    "\n",
    "feat_names = X.columns\n",
    "\n",
    "# 数据标准化\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "# 分别初始化对特征和目标值的标准化器\n",
    "ss_X = MinMaxScaler()\n",
    "ss_y = MinMaxScaler()\n",
    "\n",
    "ss_log_y = MinMaxScaler()\n",
    "\n",
    "# 分别对训练和测试数据的特征以及目标值进行标准化处理\n",
    "# 对训练数据，先调用fit方法训练模型，得到模型参数；然后对训练数据和测试数据进行transform\n",
    "X = ss_X.fit_transform(X)\n",
    "\n",
    "fe_data = pd.DataFrame(data = X, columns = feat_names, index = df.index)\n",
    "fe_data = pd.concat([fe_data, X_cat], axis = 1, ignore_index=False)\n",
    "\n",
    "#加上标签y\n",
    "fe_data[\"MEDV\"] = y\n",
    "fe_data[\"log_MEDV\"] = log_y\n",
    "\n",
    "#保存结果到文件\n",
    "fe_data.to_csv('PE_boston_housing.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#最小二乘线性回归训练及测试部分\n",
    "\n",
    "df = pd.read_csv(\"PE_boston_housing.csv\")\n",
    "\n",
    "#通过观察前5行，了解数据每列（特征）的概况\n",
    "df.head()\n",
    "df.info()\n",
    "\n",
    "# 从原始数据中分离输入特征x和输出y\n",
    "y = df[\"MEDV\"]\n",
    "X = df.drop([\"MEDV\", \"log_MEDV\"], axis = 1)\n",
    "#特征名称，用于后续显示权重系数对应的特征\n",
    "feat_names = X.columns\n",
    "\n",
    "#将数据分割训练数据与测试数据\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 随机采样20%的数据构建测试样本，其余作为训练样本\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=33, test_size=0.2)\n",
    "X_train.shape\n",
    "\n",
    "# 线性回归\n",
    "#class sklearn.linear_model.LinearRegression(fit_intercept=True, normalize=False, copy_X=True, n_jobs=1)\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "# 1.使用默认配置初始化学习器实例\n",
    "lr = LinearRegression()\n",
    "\n",
    "# 2.用训练数据训练模型参数\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "# 3. 用训练好的模型对测试集进行预测\n",
    "y_test_pred_lr = lr.predict(X_test)\n",
    "y_train_pred_lr = lr.predict(X_train)\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({\"columns\":list(feat_names), \"coef\":list((lr.coef_.T))})\n",
    "fs.sort_values(by=['coef'],ascending=False)\n",
    "\n",
    "f, ax = plt.subplots(figsize=(7, 5))\n",
    "f.tight_layout()\n",
    "ax.hist(y_train - y_train_pred_lr, bins=40, label='Residuals Linear', color='b', alpha=.5);\n",
    "ax.set_title(\"Histogram of Residuals\")\n",
    "ax.legend(loc='best');\n",
    "\n",
    "#还可以观察预测值与真值的散点图\n",
    "plt.figure(figsize=(4, 3))\n",
    "plt.scatter(y_train, y_train_pred_lr)\n",
    "plt.plot([-3, 3], [-3, 3], '--k')   #数据已经标准化，3倍标准差即可\n",
    "plt.axis('tight')\n",
    "plt.xlabel('True price')\n",
    "plt.ylabel('Predicted price')\n",
    "plt.tight_layout()\n",
    "\n",
    "# 使用r2_score评价模型在测试集和训练集上的性能，并输出评估结果\n",
    "#测试集\n",
    "print('The r2 score of LinearRegression on test is', r2_score(y_test, y_test_pred_lr))\n",
    "#训练集\n",
    "print('The r2 score of LinearRegression on train is', r2_score(y_train, y_train_pred_lr))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%873.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%873.png](attachment:%E5%9B%BE%E7%89%873.png)"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%874.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%874.png](attachment:%E5%9B%BE%E7%89%874.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The r2 score of LinearRegression on test is 0.6939789810509471\n",
    "The r2 score of LinearRegression on train is 0.7549146436868177"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#岭回归／L2正则训练部分\n",
    "#class sklearn.linear_model.RidgeCV(alphas=(0.1, 1.0, 10.0), fit_intercept=True,\n",
    "#                                  normalize=False, scoring=None, cv=None, gcv_mode=None,\n",
    "#                                  store_cv_values=False)\n",
    "from sklearn.linear_model import  RidgeCV\n",
    "\n",
    "#1. 设置超参数（正则参数）范围\n",
    "alphas = [ 0.01, 0.1, 1, 10,100]\n",
    "#n_alphas = 20\n",
    "#alphas = np.logspace(-5,2,n_alphas)\n",
    "\n",
    "#2. 生成一个RidgeCV实例\n",
    "ridge = RidgeCV(alphas=alphas, store_cv_values=True)\n",
    "\n",
    "#3. 模型训练\n",
    "ridge.fit(X_train, y_train)\n",
    "\n",
    "#4. 预测\n",
    "y_test_pred_ridge = ridge.predict(X_test)\n",
    "y_train_pred_ridge = ridge.predict(X_train)\n",
    "\n",
    "# 评估，使用r2_score评价模型在测试集和训练集上的性能\n",
    "print('The r2 score of RidgeCV on test is', r2_score(y_test, y_test_pred_ridge))\n",
    "print('The r2 score of RidgeCV on train is', r2_score(y_train, y_train_pred_ridge))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#岭回归（R2）可视化部分\n",
    "mse_mean = np.mean(ridge.cv_values_, axis = 0)\n",
    "plt.plot(np.log10(alphas), mse_mean.reshape(len(alphas),1))\n",
    "\n",
    "#这是为了标出最佳参数的位置，不是必须\n",
    "#plt.plot(np.log10(ridge.alpha_)*np.ones(3), [0.28, 0.29, 0.30])\n",
    "\n",
    "plt.xlabel('log(alpha)')\n",
    "plt.ylabel('mse')\n",
    "plt.show()\n",
    "\n",
    "print ('alpha is:', ridge.alpha_)"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%875.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%875.png](attachment:%E5%9B%BE%E7%89%875.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The r2 score of RidgeCV on test is 0.6961684813070386\n",
    "The r2 score of RidgeCV on train is 0.754852444044556\n",
    "alpha is: 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#### Lasso／L1正则训练部分\n",
    "# class sklearn.linear_model.LassoCV(eps=0.001, n_alphas=100, alphas=None, fit_intercept=True,\n",
    "#                                    normalize=False, precompute=’auto’, max_iter=1000,\n",
    "#                                    tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=1,\n",
    "#                                    positive=False, random_state=None, selection=’cyclic’)\n",
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "#1. 设置超参数搜索范围\n",
    "#alphas = [ 0.01, 0.1, 1, 10,100]\n",
    "\n",
    "#2. 生成学习器实例\n",
    "#lasso = LassoCV(alphas=alphas)\n",
    "\n",
    "#1. 设置超参数搜索范围\n",
    "#Lasso可以自动确定最大的alpha，所以另一种设置alpha的方式是设置最小的alpha值（eps） 和 超参数的数目（n_alphas），\n",
    "#然后LassoCV对最小值和最大值之间在log域上均匀取值n_alphas个\n",
    "# np.logspace(np.log10(alpha_max * eps), np.log10(alpha_max),num=n_alphas)[::-1]\n",
    "\n",
    "#2 生成LassoCV实例（默认超参数搜索范围）\n",
    "lasso = LassoCV()\n",
    "\n",
    "#3. 训练（内含CV）\n",
    "lasso.fit(X_train, y_train)\n",
    "\n",
    "#4. 测试\n",
    "y_test_pred_lasso = lasso.predict(X_test)\n",
    "y_train_pred_lasso = lasso.predict(X_train)\n",
    "\n",
    "\n",
    "# 评估，使用r2_score评价模型在测试集和训练集上的性能\n",
    "print('The r2 score of LassoCV on test is', r2_score(y_test, y_test_pred_lasso))\n",
    "print('The r2 score of LassoCV on train is', r2_score(y_train, y_train_pred_lasso))\n",
    "\n",
    "#Lasso回归（R1）可视化部分\n",
    "mses = np.mean(lasso.mse_path_, axis=1)\n",
    "plt.plot(np.log10(lasso.alphas_), mses)\n",
    "# plt.plot(np.log10(lasso.alphas_)*np.ones(3), [0.3, 0.4, 1.0])\n",
    "plt.xlabel('log(alpha)')\n",
    "plt.ylabel('mse')\n",
    "plt.show()\n",
    "\n",
    "print('alpha is:', lasso.alpha_)\n",
    "\n",
    "# 看看各特征的权重系数，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({\"columns\":list(feat_names), \"coef_lr\":list((lr.coef_.T)), \"coef_ridge\":list((ridge.coef_.T)), \"coef_lasso\":list((lasso.coef_.T))})\n",
    "fs.sort_values(by=['coef_lr'],ascending=False)"
   ]
  },
  {
   "attachments": {
    "%E5%9B%BE%E7%89%877.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![%E5%9B%BE%E7%89%877.png](attachment:%E5%9B%BE%E7%89%877.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The r2 score of LassoCV on test is 0.6953719445869473\n",
    "The r2 score of LassoCV on train is 0.7546505272258798\n",
    "alpha is: 0.004240023611635234"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.代码中给出了岭回归（RidgeCV）和Lasso（LassoCV）超参数（alpha_）调优的过程，请结合两个最佳模型以及最小二乘线性回归模型的结果，给出什么场合应该用岭回归，什么场合用Lasso，什么场合用最小二乘。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "最小二乘法适用与特征之间相关性不强的数据；\n",
    "岭回归（RidgeCV）适用与特征之间有一些相关性，但相关性不是很强的数据；\n",
    "Lasso回归适用与特征之前有很多强相关性的数据；\n",
    "最小二乘线性回归中，目标函数只考虑了模型对训练样本的拟合程度，容易过拟合。岭回归使得线性回归系数收缩，模型稳定。当输入特征之间存在共线性时使用较好。 Lasso也会收缩回归系数。当正则参数取合适值时，使得有些线性回归系数为0，得到稀疏模型。 当输入特征多，有些特征与目标变量之间相关性很弱时，可能只选择强相关的特征，模型解释性好。 通过模型结果来看，不同模型中各个变量的比重不同。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
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